ESTAN – A toolbox for global sensitivity based estimability analysis
Recently in process engineering field, there is an increasing demand for high fidelity, large and multi-scale mathematical models. In most cases, these models involve several unknown parameters whose identifiability from experimental measurements is often not guaranteed. It is therefore necessary to...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/24378301.v1 |
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